This section describes the proposed network based on hybrid CNN-Transformer and structure tensor for HDR deghosting.
Our goal is to convert an LDR image sequence \(\left\lbrace I_{1}, I_{2}, \ldots , I_{k}\right\rbrace \)  into a high-quality HDR image, \(H\) . In our network, we input only two images (e.g. \(I_{1}, I_{2}\) ) at a time and use the resulting image as the input for an arbitrary number of input images in subsequent tasks.
In [1]}, images in the LDR domain are used to detect noise and saturated regions, while images in the HDR domain facilitate detection of motions.
HDR image \(H_{k}\)  can be obtained from LDR images by the following formula:
\(H_{k}=\frac{I_{k}^{\gamma }}{t_{k}}, \quad k=1,2\) 
